





import os
import unittest

from transformers.models.cpmant.tokenization_cpmant import VOCAB_FILES_NAMES, CpmAntTokenizer
from transformers.testing_utils import require_jieba, tooslow

from ...test_tokenization_common import TokenizerTesterMixin






@require_jieba
class  lowercase    (      __lowercase ,					unittest.TestCase       ):






					"""simple docstring"""



					snake_case_						  =			CpmAntTokenizer
					snake_case_						  =			False





					def       _UpperCamelCase       (    self						:     Tuple							):

						"""simple docstring"""



						super().setUp()

						lowerCamelCase__										=			[
						    "<d>",
						    "</d>",
						    "<s>",
						    "</s>",
						    "</_>",
						    "<unk>",
						    "<pad>",
						    "</n>",
						    "我",
						    "是",
						    "C",
						    "P",
						    "M",
						    "A",
						    "n",
						    "t",
						]
						lowerCamelCase__										=			os.path.join(self.tmpdirname ,					VOCAB_FILES_NAMES["""vocab_file"""]							)
						with open(self.vocab_file ,					"""w""" ,					encoding="""utf-8"""							) as vocab_writer:
							vocab_writer.write("""""".join([x + """\n""" for x in vocab_tokens]							)							)





					@tooslow
					def       _UpperCamelCase       (    self						:     Optional[int]							):

						"""simple docstring"""



						lowerCamelCase__										=			CpmAntTokenizer.from_pretrained("""openbmb/cpm-ant-10b"""							)
						lowerCamelCase__										=			"今天天气真好！"
						lowerCamelCase__										=			["今天", "天气", "真", "好", "！"]
						lowerCamelCase__										=			tokenizer.tokenize(a_							)
						self.assertListEqual(a_ ,					a_							)
						lowerCamelCase__										=			"今天天气真好！"
						lowerCamelCase__										=			[tokenizer.bos_token] + tokens

						lowerCamelCase__										=			[6, 98_02, 1_49_62, 20_82, 8_31, 2_44]
						self.assertListEqual(tokenizer.convert_tokens_to_ids(a_							) ,					a_							)

						lowerCamelCase__										=			tokenizer.decode(a_							)
						self.assertEqual(a_ ,					a_							)


from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


lowercase    :   List[str]						=			{
    'configuration_gpt_bigcode': ['GPT_BIGCODE_PRETRAINED_CONFIG_ARCHIVE_MAP', 'GPTBigCodeConfig'],
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase    :   List[str]						=			[
		    'GPT_BIGCODE_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'GPTBigCodeForSequenceClassification',
		    'GPTBigCodeForTokenClassification',
		    'GPTBigCodeForCausalLM',
		    'GPTBigCodeModel',
		    'GPTBigCodePreTrainedModel',
		]

if TYPE_CHECKING:
		from .configuration_gpt_bigcode import GPT_BIGCODE_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTBigCodeConfig

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_gpt_bigcode import (
				    GPT_BIGCODE_PRETRAINED_MODEL_ARCHIVE_LIST,
				    GPTBigCodeForCausalLM,
				    GPTBigCodeForSequenceClassification,
				    GPTBigCodeForTokenClassification,
				    GPTBigCodeModel,
				    GPTBigCodePreTrainedModel,
				)


else:
		import sys

		lowercase    :   Tuple						=			_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)